Resting-State High-Density EEG using EGI GES 300 with 256 Channels of Healthy Elders, People with Subjective and Mild Cognitive Impairment and Alzheimer's Disease

This repository contains Matlab files including 4 samples of resting-state EEG recording for Alzheimer's Disease (AD), Mild Cognitive Impairment (MCI), Subjective Cognitive Decline (SCD), and Healthy Controls (HC) using the HD-EEG EGI GES 300. <strong>[AD: i108, MCI: i100, SCD: i090, HC: s055]</strong> <strong>Participants &amp; Settings</strong> In total 230 participants have been recruited from the memory and dementia clinic of the Greek Association of Alzheimer’s Disease and Related Disorders (GAADRD) and the 1st Department of Neurology, U.H. AHEPA, Aristotle University of Thessaloniki, Greece. The full dataset includes: <strong>Healthy Controls Elders (60+ years old)</strong>: 33 participants <strong>Subjective Cognitive Decline:</strong> 34 participants <strong>Mild Cognitive Impairment</strong>: 79 participants <strong>Alzheimer's Disease</strong>: 48 participants <strong>Healthy Young (25-40 years old):</strong> 36 participants The study was carried out in accordance with the Declaration of Helsinki and received approval by the Scientific and Ethics Committee of GAADRD (No56_27/11/2016), and written informed consent was obtained from all participants prior to their participation in the study. The diagnosis of AD was conducted by a neuropsychiatrist according to their medical history, neuropsychological performance, structural magnetic resonance imaging (MRI), and clinical and neurological examinations. Participants with AD fulfilled the National Institute of Neurological and Communication Disorders and Stroke/Alzheimer’s Disease and Related Disorders Association (NINCDS-ADRDA) criteria for probable AD, as well as the Diagnostic and Statistical Manual of Mental Disorders (DSM-V) criteria for dementia of Alzheimer’s type (American Psychological Association, 1994). On the other hand, the MCI participants fulfilled the Petersen criteria, while the SCD group met International Working Group-2 guidelines and the recent National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease (NI-AA), as well as the SCD-I Working Group instructions. <strong>Resting-State EEG Recording</strong> Fifteen-minute resting EEG activity was recorded for all the participants. For the whole duration of the resting state EEG recording, participants were advised to keep themselves relaxed as much as possible, close their eyes and open them after the researcher’s demand, sit still, minimize blinking or mouth movements and let their mind wander. The experimental procedure was monitored by a research assistant aiming to identify cases of horizontal eye movements, continued blinking, or excessive movement by visually inspecting the EEG traces during the experiment. More specifically, an EEG was registered for both resting conditions (eyes open, EO and eyes closed, EC) for at least 2–3 min for each period. <strong>EEG Data Acquisition</strong> The EEG data were collected by using the EGI 300 Geodesic EEG system (GES 300, CERTH-ITI, Thessaloniki, Greece) with a 256-channel HydroCel Geodesic Sensor Net (HCGSN) and a sampling rate of 250 Hz (EGI Eugene, OR). Moreover, the researcher placed the electrodes in accordance with the 256 HCGSN adult 1.0 montage system, while the signals were recorded relative to a vertex reference electrode (Cz), with AFz as the ground electrode with the electrodes’ impedance below 50 kΩ throughout the experimental procedure, as recommended for the high-input impedance amplifier. In detail, the HD-EEG data were analyzed offline in order to detect any artifact, as well as to conduct pre-processing (filtering, segmentation, bad channel replacement) using Net Station 4.3 software (EGI). HD-EEG data were initially filtered with a 5th-order bandpass Butterworth IIR filter of 0.3–30 Hz. Once the segmentation was completed, the detection of artifacts was performed by using the Net Station artifact detection tool for the automatic detection of excessive eye blinking and movement. Afterward, the signals were baseline corrected using 200 msec before the start of the experiment period and average re-referenced to transform them into reference-independent values. <strong>Full Dataset Access</strong> More information about the sample dataset and access to the full dataset can be available after request via e-mail: <strong>Ioulietta Lazarou</strong> BSc, MSc, PhD candidate Neuropsychologist - Clinical Research Associate Centre for Research and Technology Hellas (CERTH), Information Technologies Institute (ITI) 6th km Charilaou-Thermi Road, P.O. Box 60361, 57001 Thermi-Thessaloniki, Greece E-mail: [e-mail]本仓库包含Matlab文件，涵盖了使用HD-EEG EGI GES 300设备采集的4份静息态脑电（Electroencephalogram, EEG）样本，对应阿尔茨海默病（Alzheimer's Disease, AD）、轻度认知障碍（Mild Cognitive Impairment, MCI）、主观认知下降（Subjective Cognitive Decline, SCD）以及健康对照（Healthy Controls, HC）四组人群。 <strong>[AD: i108, MCI: i100, SCD: i090, HC: s055]</strong> <strong>研究对象与实验设置</strong> 本研究共招募230名受试者，招募地点为希腊阿尔茨海默病及相关疾病协会（Greek Association of Alzheimer’s Disease and Related Disorders, GAADRD）记忆与痴呆门诊，以及希腊塞萨洛尼基亚里士多德大学AHEPA医院神经内科第一病区。完整数据集包含以下组别： <strong>健康老年对照（60岁及以上）</strong>：33名受试者 <strong>主观认知下降组</strong>：34名受试者 <strong>轻度认知障碍组</strong>：79名受试者 <strong>阿尔茨海默病组</strong>：48名受试者 <strong>健康青年组（25-40岁）</strong>：36名受试者 本研究严格遵循《赫尔辛基宣言》开展，已通过GAADRD科学与伦理委员会批准（批准号：No56_27/11/2016），所有受试者均在参与研究前签署了书面知情同意书。 AD的诊断由神经精神科医师结合受试者病史、神经心理学表现、结构磁共振成像（Magnetic Resonance Imaging, MRI）结果以及临床与神经系统检查作出。AD组受试者符合美国国家神经病学与卒中研究所/阿尔茨海默病及相关疾病协会（National Institute of Neurological and Communication Disorders and Stroke/Alzheimer’s Disease and Related Disorders Association, NINCDS-ADRDA）的很可能AD诊断标准，同时符合《精神障碍诊断与统计手册（第五版）》（Diagnostic and Statistical Manual of Mental Disorders, DSM-V）中阿尔茨海默型痴呆的诊断标准（美国心理学会，1994）。MCI组受试者符合彼得森（Petersen）诊断标准，SCD组则符合国际工作小组2（International Working Group-2, IWG-2）指南以及最新的美国国家衰老研究所-阿尔茨海默病协会阿尔茨海默病诊断指南工作组（National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease, NI-AA）标准，同时遵循SCD-I工作小组的指导要求。 <strong>静息态脑电采集</strong> 所有受试者均采集15分钟的静息态脑电活动。在静息态脑电采集全程中，受试者需尽可能保持放松，闭眼并可根据研究人员指令睁眼，保持端坐不动，尽量减少眨眼与口腔动作，同时允许思绪自然漫游。研究助理会全程监测实验过程，通过目视检查脑电轨迹识别水平眼动、频繁眨眼或过度肢体运动等情况。具体而言，每位受试者需完成两种静息态条件下的脑电记录：睁眼（eyes open, EO）与闭眼（eyes closed, EC），每个状态的有效记录时长至少为2-3分钟。 <strong>脑电数据采集与预处理</strong> 本研究采用EGI 300大地测量脑电系统（GES 300, CERTH-ITI, 塞萨洛尼基, 希腊）搭配256通道HydroCel大地测量传感器阵列（HCGSN）进行脑电数据采集，采样率为250 Hz（EGI Eugene, OR）。研究人员按照256通道HCGSN成人1.0导联系统安装电极，信号以顶点参考电极（Cz）为参考，AFz作为接地电极，实验全程电极阻抗均控制在50 kΩ以下，符合高输入阻抗放大器的使用要求。离线分析阶段，研究人员使用Net Station 4.3软件（EGI）对高密度脑电（HD-EEG）数据进行伪迹检测与预处理（滤波、分段、坏通道替换）。具体步骤为：首先使用0.3–30 Hz的5阶带通巴特沃斯IIR滤波器对数据进行滤波；分段完成后，通过Net Station伪迹检测工具自动识别过度眨眼与运动伪迹；随后以实验开始前200 ms作为基线对信号进行校正，并进行平均重参考转换，将信号转换为参考独立值。 <strong>完整数据集获取方式</strong> 如需获取更多样本数据集信息及完整数据集，可通过电子邮件联系： <strong>Ioulietta Lazarou</strong> 理学学士、理学硕士、博士研究生 神经心理学家 - 临床研究助理 希腊研究与技术中心（Centre for Research and Technology Hellas, CERTH）信息技术研究所（Information Technologies Institute, ITI） Charilaou-Thermi公路6公里处，邮政信箱60361，57001 Thermi-塞萨洛尼基，希腊 电子邮箱：[e-mail]